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Applications of Informed Search Build Game Board where Predator is Searching a matrix looking for least cost path to Prey Build Game Board where Predator is Searching a matrix looking for least cost path to Prey Task Environment is fully observable Task Environment is fully observable Both Single and Multi-Agent Implementations [i.e. both predator and prey are moving] Both Single and Multi-Agent Implementations [i.e. both predator and prey are moving] A* A* Idea: avoid expanding paths that are already expensive Idea: avoid expanding paths that are already expensive Evaluation function f(n) = g(n) + h(n) Evaluation function f(n) = g(n) + h(n)

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Applications of Informed Search Build a Corn Maze where agent finds its way through the maze Build a Corn Maze where agent finds its way through the maze LRTA* LRTA* Used to solve problems where planning and action are interleaved and environment is safely-explorable Used to solve problems where planning and action are interleaved and environment is safely-explorable Search to find the optimal solution to a randomly selected scrambled Rubik's Cube Search to find the optimal solution to a randomly selected scrambled Rubik's Cube Iterative Deepening A* (IDA*) Iterative Deepening A* (IDA*)

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Applications of Adversarial Search Tic-Tac-Toe Tic-Tac-Toe MiniMax [with Alpha-Beta Pruning] MiniMax [with Alpha-Beta Pruning] Setting a cutoff where levels can be novice through Master Level Setting a cutoff where levels can be novice through Master Level Mastermind Mastermind Please don’t ask me questions about this game… student is currently researching Please don’t ask me questions about this game… student is currently researching

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Applications of Machine Learning You enter how you would vote on a set of legislative bills and I [the computer] will predict your political party You enter how you would vote on a set of legislative bills and I [the computer] will predict your political party Naïve Bayes Naïve Bayes Guess your Cartoon Character based on the answer to twenty questions Guess your Cartoon Character based on the answer to twenty questions Nearest Neighbor Nearest Neighbor

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Challenges Understanding is not necessarily trivial Understanding is not necessarily trivial Significant career opportunities in emerging fields that are not just related to gaming Significant career opportunities in emerging fields that are not just related to gaming [e.g. Learning Science and Web Science]. [e.g. Learning Science and Web Science]. The challenge The challenge Develop the proper pedagogy and scaffolding that will support student learning of these concepts. Develop the proper pedagogy and scaffolding that will support student learning of these concepts. Course needs to be adaptable to meet the needs of many types of students Course needs to be adaptable to meet the needs of many types of students